{"id":1380216,"url":"https://alion.io/job/contiinex-data-scientist","title":"Data Scientist","company":{"id":3835136,"name":"Contiinex","domain":"contiinex.com","url":"https://alion.io/company/contiinex","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":51000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWQ","optional":false},{"name":"Bitsandbytes","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GGUF","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"QLoRA","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-28T08:10:38Z","employer_posted_date":null,"last_verified_at":"2026-09-28T08:10:38Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Responsibilities:\nFine-tuning pipelines using LoRA / QLoRA / PEFT on domain-specific corpora.\nSynthetic training data generation (JSONL) for healthcare NLP tasks.\nModel evaluation design: precision, recall, and task-specific rubrics for clinical and billing language.\nQuantisation and inference optimisation (GGUF, AWQ, bitsandbytes) for GPU-constrained deployments.\nPrompt engineering as a systematic, reproducible discipline.\nBenchmarking SLMs against frontier models on narrow, well-defined tasks.\nRequirements:\nBackground that maps well: NLP research, LLM fine-tuning at a product company, applied AI in healthtech or regulated domains, M. Tech / PhD with hands-on model training experience.","description_format":"text","description_chars":695,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T08:10:38Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["seen:2","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/contiinex-data-scientist","json_url":"https://alion.io/job/contiinex-data-scientist.json","meta":{"generated_at":"2026-10-01T11:18:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2881,"day_limit":5000,"remaining_today":2119,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}